2018年度,实验室成员正式发表论文83篇,其中SCI 64篇,已标注联合实验室共40   

 [1]      Chu, C., Yang, X.-Q., Sun, X., Yang, D., Jiang, Y., Feng, T., and Liang, J.: Effect of the tropical Pacific and Indian Ocean warming since the late 1970s on wintertime Northern Hemispheric atmospheric circulation and East Asian climate interdecadal changes, Climate Dynamics,  50, 3031-3048, 10.1007/s00382-017-3790-y, 2018. (  标注联合实验室  )*     

 [2]      Wang, T., Yang, X.-Q., Fang, J., Sun, X., and Ren, X.: Role of Air-Sea Interaction in the 30-60-Day Boreal Summer Intraseasonal Oscillation over the Western North Pacific, Journal of Climate , 31, 1653-1680, 10.1175/jcli-d-17-0109.1, 2018. (  标注联合实验室  )*     

 [3]      Yang, D., Yang, X.-Q., Ye, D., Sun, X., Fang, J., Chu, C., Feng, T., Jiang, Y., Liang, J., Ren, X., Zhang, Y., and Tang, Y.: On the Relationship Between Probabilistic and Deterministic Skills in Dynamical Seasonal Climate Prediction, Journal of Geophysical Research-Atmospheres , 123, 5261-5283, 10.1029/2017jd028002, 2018. (  标注联合实验室  )*     

 [4]      Sun, X., Tao, L., and Yang, X.-Q.: The Influence of Oceanic Stochastic Forcing on the Atmospheric Response to Midlatitude North Pacific SST Anomalies, Geophysical Research Letters , 45, 9297-9304, 10.1029/2018gl078860, 2018. (  标注联合实验室  )*     

 [5]      Zhang, Z., Sun, X., and Yang, X.-Q.: Understanding the Interdecadal Variability of East Asian Summer Monsoon Precipitation: Joint Influence of Three Oceanic Signals, Journal of Climate , 31, 5485-5506, 10.1175/jcli-d-17-0657.1, 2018. (  标注联合实验室  )*     

 [6]      Gu, S., Zhang, Y., Wu, Q., and Yang, X.-Q.: The Linkage Between Arctic Sea Ice and Midlatitude Weather: In the Perspective of Energy, Journal of Geophysical Research-Atmospheres , 123, 11536-11550, 10.1029/2018jd028743, 2018. (  标注联合实验室  )*     

 [7]      Guan, W., Ren, X., Shang, W., and Hu, H.: Subseasonal Zonal Oscillation of the Western Pacific Subtropical High during Early Summer, Journal of Meteorological Research , 32, 768-780, 10.1007/s13351-018-8061-2, 2018. (  标注联合实验室  )*     

 [8]      Hu, H., Wu, Q., and Wang, Z.: Influences of two types of El Nino event on the Northwest Pacific and tropical Indian Ocean SST anomalies, Journal of Oceanology and Limnology , 36, 33-47, 10.1007/s00343-018-6296-5, 2018. (  标注联合实验室  )*     

 [9]      Tang, J., Sun, X., Hui, P., Li, Y., Zhang, Q., and Liu, J.: Effects of spectral nudging on precipitation extremes and diurnal cycle over CORDEX-East Asia domain, International Journal of Climatology , 38, 4903-4923, 10.1002/joc.5706, 2018. (  标注联合实验室  )*     

 [10]    Hui, P., Tang, J., Wang, S., Niu, X., Zong, P., and Dong, X.: Climate change projections over China using regional climate models forced by two CMIP5 global models. Part I: evaluation of historical simulations, International Journal of Climatology , 38, E57-E77, 10.1002/joc.5351, 2018, 2018. (  标注联合实验室  )*     

 [11]    Hui, P., Tang, J., Wang, S., Niu, X., Zong, P., and Dong, X.: Climate change projections over China using regional climate models forced by two CMIP5 global models. Part II: projections of future climate, International Journal of Climatology , 38, E78-E94, 10.1002/joc.5409, 2018. (  标注联合实验室  )*     

 [12]    Wang, P., Tang, J., Wang, S., Dong, X., and Fang, J.: Regional heatwaves in china: a cluster analysis, Climate Dynamics , 50, 1901-1917, 10.1007/s00382-017-3728-4, 2018. (  标注联合实验室  )*     

 [13]    Yang, B., Zhou, Y., Zhang, Y., Huang, A., Qian, Y., and Zhang, L.: Simulated precipitation diurnal cycles over East Asia using different CAPE-based convective closure schemes in WRF model, Climate Dynamics , 50, 1639-1658, 10.1007/s00382-017-3712-z, 2018. (  标注联合实验室  )*     

 [14]    Liu, D., Yang, B., Zhang, Y., Qian, Y., Huang, A., Zhou, Y., and Zhang, L.: Combined impacts of convection and microphysics parameterizations on the simulations of precipitation and cloud properties over Asia, Atmospheric Research , 212, 172-185, 10.1016/j.atmosres.2018.05.017, 2018. (  标注联合实验室  )*     

 [15]    Huang, D., Yan, P., Zhu, J., Zhang, Y., Kuang, X., and Cheng, J.: Uncertainty of global summer precipitation in the CMIP5 models: a comparison between high-resolution and low-resolution models, Theoretical and Applied Climatology , 132, 55-69, 10.1007/s00704-017-2078-9, 2018. (  标注联合实验室  )*     

 [16]    Wu, Y., Huang, A., Huang, D., Chen, F., Yang, B., Zhou, Y., Fang, D., Zhang, L., and Wen, L.: Diurnal variations of summer precipitation over the regions east to Tibetan Plateau, Climate Dynamics , 51, 4287-4307, 10.1007/s00382-017-4042-x, 2018. (  标注联合实验室  )*     

 [17]    Han, H., Liu, J., Yuan, H., Zhuang, B., Zhu, Y., Wu, Y., Yan, Y., and Ding, A.: Characteristics of intercontinental transport of tropospheric ozone from Africa to Asia, Atmospheric Chemistry and Physics , 18, 4251-4276, 10.5194/acp-18-4251-2018, 2018. (  标注联合实验室  )*     

 [18]    Zhuang, B., Wang, T., Liu, J., Che, H., Han, Y., Fu, Y., Li, S., Xie, M., Li, M., Chen, P., Chen, H., Yang, X.-q., and Sun, J.: The optical properties, physical properties and direct radiative forcing of urban columnar aerosols in the Yangtze River Delta, China, Atmospheric Chemistry and Physics , 18, 1419-1436, 10.5194/acp-18-1419-2018, 2018. (  标注联合实验室  )*     

 [19]    Li, S., Wang, T., Huang, X., Pu, X., Li, M., Chen, P., Yang, X.-Q., and Wang, M.: Impact of East Asian Summer Monsoon on Surface Ozone Pattern in China, Journal of Geophysical Research-Atmospheres , 123, 1401-1411, 10.1002/2017jd027190, 2018. (  标注联合实验室  )*     

 [20]    Li, S., Wang, T., Zanis, P., Melas, D., and Zhuang, B.: Impact of Tropospheric Ozone on Summer Climate in China, Journal of Meteorological Research , 32, 279-287, 10.1007/s13351-018-7094-x, 2018. (  标注联合实验室  )*     

 [21]    Ma, C., Wang, T., Zang, Z., and Li, Z.: Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts, Advances in Atmospheric Sciences , 35, 813-825, 10.1007/s00376-017-7179-y, 2018. (  标注联合实验室  )*     

 [22]    Qu, Y., Wang, T., Cai, Y., Wang, S., Chen, P., Li, S., Li, M., Yuan, C., Wang, J., and Xu, S.: Influence of Atmospheric Particulate Matter on Ozone in Nanjing, China: Observational Study and Mechanistic Analysis, Advances in Atmospheric Sciences , 35, 1381-1395, 10.1007/s00376-018-8027-4, 2018. (  标注联合实验室  )*     

 [23]    Xie, X., Huang, X., Wang, T., Li, M., Li, S., and Chen, P.: Simulation of Non-Homogeneous CO2 and Its Impact on Regional Temperature in East Asia, Journal of Meteorological Research , 32, 456-468, 10.1007/s13351-018-7159-x, 2018. (  标注联合实验室  )*     

 [24]    Chen, Y., and Zhang, N.: Urban Heat Island Mitigation Effectiveness under Extreme Heat Conditions in the Suzhou-Wuxi-Changzhou Metropolitan Area, China, Journal of Applied Meteorology and Climatology , 57, 235-253, 10.1175/jamc-d-17-0101.1, 2018. (  标注联合实验室  )*     

 [25]    Huang, Yu, Hong-Li Ren*, Robin Chadwick, Zhigang Cheng, Quanliang Chen, 2018: Diagnosing changes of winter NAO in response to different climate forcings in a set of atmosphere-only timeslice experiments. Atmosphere , 9(1), 10. doi:10.3390/atmos9010010, 2018.(  标注联合实验室  )*     

 [26]    Li, Chengcheng, Hong-Li Ren*, Fang Zhou, Shuanglin Li, Joshua-Xiouhua Fu, and Guoping Li. 2018: Multi-pentad prediction of precipitation variability over Southeast Asia during boreal summer using BCC_CSM1.2. Dynamics of Atmospheres and Oceans , 82, 20-36. doi:10.1016/j.dynatmoce.2018.02.002, 2018. (  标注联合实验室  )*     

 [27]    Liu, Jingpeng, Hong-Li Ren*, Weijing Li, and Jinqing Zuo. 2018: Remarkable impacts of Indian Ocean sea surface temperature on interdecadal variability of summer rainfall in Southwestern China. Atmosphere , 9(3), 103. doi:10.3390/atmos9030103. (  标注联合实验室  )*     

 [28]    Liu, Ying, Hong-Li Ren*, Adam A. Scaife, and Chaofan Li, 2018: Evaluation and statistical downscaling of East Asian summer monsoon forecasting in BCC and MOHC seasonal prediction systems. Quarterly Journal of the Royal Meteorological Society , 144(717), 2798–2811. doi: 10.1002/qj.3405, 2018. (  标注联合实验室  )*     

 [29]    Lu, B., F.-F. Jin, H.-L. Ren, 2018: A Coupled Dynamic Index for ENSO Periodicity. Journal of Climate , 31: 2361-2376, 2018. (  标注联合实验室  )*     

 [30]    Lu, Bo, Hong-Li Ren*, Adam Scaife, Jie Wu, Nick Dunstone, Doug Smith, Jianghua Wan, Rosemary Eade, Craig MacLachlan, Margaret Gordon, 2018: An extreme negative Indian Ocean Dipole event in 2016: dynamics and predictability. Climate Dynamics , 51(1), 89-100. doi: 10.1007/s00382-017-3908-2, 2018. (  标注联合实验室  )*     

 [31]    Lu, Bo, Hong-Li Ren*, Rosemary Eade, and Martin Andrews. 2018: Indian Ocean SST modes and their impacts as simulated in BCC-CSM1.1m and HadGEM3. Advances in Atmospheric Sciences , 35(8), 1035–1048. doi: 10.1007/s00376-018-7279-3, 2018. (  标注联合实验室  )*     

 [32]    Ren Hong-Li, Jinqing Zuo, Yi Deng, 2018: Statistical predictability of Nino indices for two types of ENSO, Climate Dynamics , https://doi.org/10.1007/s00382-018-4453-3  , 2018. (  标注联合实验室  )*     

 [33]    Ren, Hong-Li et al.: Seasonal predictability of winter ENSO types in operational dynamical model predictionsClimate Dynamics   DOI:https://doi.org/10.1007/s00382-018-4366-1, 2018. (  标注联合实验室  )*     

 [34]    Ren, Hong-Li*, Bo Lu, Jianghua Wan, Ben Tian, and Peiqun Zhang, 2018: Identification standard for ENSO events and its application to climate monitoring and prediction. Journal of Meteorological Research , 32(6), 923–936, doi: 10.1007/s13351-018-8078-6, 2018. (  标注联合实验室  )*     

 [35]    Ren, Pengfei, Hong-Li Ren*, Joshua-Xiouhua Fu, Jie Wu, and Liangmin Du, 2018: Impact of boreal summer intraseasonal oscillation on rainfall extremes in southeastern China and its predictability in CFSv2. Journal of Geophysical Research-Atmospheres , 123, 4423-4442. doi:10.1029/2017JD028043, 2018. (  标注联合实验室  )*     

 [36]    Wan, Jianghua, Hong-Li Ren*, and Peili Wu. 2018: Representation of the ENSO combination mode and its asymmetric SST response in different resolutions of HadGEM3. Advances in Atmospheric Sciences , 35(8), 1063–1076. doi: 10.1007/s00376-018-7285-5, 2018. (  标注联合实验室  )*     

 [37]    Wu., Y. J., and W. S. Duan: Impact of SST anomaly events over the Kuroshio–Oyashio extension on the “summer prediction barrier”. Advances in Atmospheric Sciences , 35(4), 397–409, https://doi.org/10.1007/s00376-017-6322-0  , 2018. (  标注联合实验室  )*     

 [38]    Zuo Jinqing, Li Weijing, Sun Chenghu, Ren Hong-chang: Remote forcing of the northern tropical Atlantic SST anomalies on the western North Pacific anomalous anticyclone. Climate Dynamics , https://doi.org/10.1007/s00382-018-4298-9  , 2018. (  标注联合实验室  )*     

 [39]    吴捷,任宏利* ,张帅,刘颖,刘向文. BCC二代气候系统模式的季节预测评估和可预报性分析. 大气科学  201741(6)1300-1315. doi:10.3878/j.issn.1006-9895.1703.16256. (  标注联合实验室  )*     

 [40]    吴捷,任宏利,许小峰,等. 2018. MJO对我国降水影响的季节调制和动力-统计降尺度预测. 气象  2018446):737-751 DOI:10.7519/j.issn.1000-0526.2018.06.002   (  标注联合实验室  )*     

 [41]    Li, W., Guo, W., Qiu, B., Xue, Y., Hsu, P.-C., and Wei, J.: Influence of Tibetan Plateau snow cover on East Asian atmospheric circulation at medium-range time scales, Nature Communications , 9, 10.1038/s41467-018-06762-5, 2018.   

 [42]    Xue, D., Lu, J., Leung, L. R., and Zhang, Y.: Response of the Hydrological Cycle in Asian Monsoon Systems to Global Warming Through the Lens of Water Vapor Wave Activity Analysis, Geophysical Research Letters , 45, 11904-11912, 10.1029/2018gl078998, 2018.   

 [43]    Liu, Y., Zhang, K., Qian, Y., Wang, Y., Zou, Y., Song, Y., Wan, H., Liu, X., and Yang, X.-Q.: Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles, Atmospheric Chemistry and Physics , 18, 31-47, 10.5194/acp-18-31-2018, 2018.   

 [44]    Ma, X., and Zhang, Y.: Interannual variability of the North Pacific winter storm track and its relationship with extratropical atmospheric circulation, Climate Dynamics , 51, 3685-3698, 10.1007/s00382-018-4104-8, 2018.   

 [45]    Yang, Y., Tang, J., Wang, S., and Liu, G.: Differential Impacts of 1.5 and 2 degrees C Warming on Extreme Events Over China Using Statistically Downscaled and Bias-Corrected CESM Low-Warming Experiment, Geophysical Research Letters , 45, 9852-9860, 10.1029/2018gl079272, 2018.   

 [46]    Niu, X., Wang, S., Tang, J., Lee, D.-K., Gutowski, W., Dairaku, K., McGregor, J., Katzfey, J., Gao, X., Wu, J., Hong, S.-y., Wang, Y., Sasaki, H., and Fu, C.: Ensemble evaluation and projection of climate extremes in China using RMIP models, International Journal of Climatology , 38, 2039-2055, 10.1002/joc.5315, 2018.   

 [47]    Zhuang, B. L., Li, S., Wang, T. J., Liu, J., Chen, H. M., Chen, P. L., Li, M. M., and Xie, M.: Interaction between the Black Carbon Aerosol Warming Effect and East Asian Monsoon Using RegCM4, Journal of Climate , 31, 9367-9388, 10.1175/jcli-d-17-0767.1, 2018.   

 [48]    Zhang, H., Wang, M., Guo, Z., Zhou, C., Zhou, T., Qian, Y., Larson, V. E., Ghan, S., Ovchinnikov, M., Bogenschutz, P. A., and Gettelman, A.: Low-Cloud Feedback in CAM5-CLUBB: Physical Mechanisms and Parameter Sensitivity Analysis, Journal of Advances in Modeling Earth Systems , 10, 2844-2864, 10.1029/2018ms001423, 2018.   

 [49]    Krinner G et al., 2018: ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks, Geosci. Model Dev , 11, 5027-5049, 2018.   

 [50]    Han, H., Liu, J. , Yuan, H. , Jiang, F., Zhu, Y., Wu, Y., Wang, T., and Zhuang, B.: Impacts of Synoptic Weather Patterns and their Persistency on Free Tropospheric Carbon Monoxide Concentrations and Outflow in Eastern China, Journal of Geophysical Research-Atmospheres , 123, 7024-7046, 10.1029/2017jd028172, 2018.   

 [51]    Ao, X., Grimmond, C. S. B., Ward, H. C., Gabey, A. M., Tan, J., Yang, X.-Q., Liu, D., Zhi, X., Liu, H., and Zhang, N.: Evaluation of the Surface Urban Energy and Water Balance Scheme (SUEWS) at a Dense Urban Site in Shanghai: Sensitivity to Anthropogenic Heat and Irrigation, Journal of Hydrometeorology , 19, 1983-2005, 10.1175/jhm-d-18-0057.1, 2018.   

 [52]    Zhong, S., Qian, Y., Sarangi, C., Zhao, C., Leung, R., Wang, H., Yan, H., Yang, T., and Yang, B.: Urbanization Effect on Winter Haze in the Yangtze River Delta Region of China, Geophysical Research Letters , 45, 6710-6718, 10.1029/2018gl077239, 2018.   

 [53]    Huang, X., Wang, Z., and Ding, A.: Impact of Aerosol-PBL Interaction on Haze Pollution: Multiyear Observational Evidences in North China, Geophysical Research Letters , 45, 8596-8603, 10.1029/2018gl079239, 2018.    

 [54]    Peng, Z., Lei, L., Liu, Z., Su, J., Ding, A., Ban, J., Chen, D., Kou, X., and Chu, K.: The impact of multi-species surface chemical observation assimilation on air quality forecasts in China, Atmospheric Chemistry and Physics , 18, 10.5194/acp-18-17387-2018, 2018.   

 [55]    Qi, X., Ding, A., Roldin, P., Xu, Z., Zhou, P., Sarnela, N., Nie, W., Huang, X., Rusanen, A., Ehn, M., Rissanen, M. P., Petaja, T., Kulmala, M., and Boy, M.: Modelling studies of HOMs and their contributions to new particle formation and growth: comparison of boreal forest in Finland and a polluted environment in China, Atmospheric Chemistry and Physics , 18, 11779-11791, 10.5194/acp-18-11779-2018, 2018.   

 [56]    Shen, Y., Virkkula, A., Ding, A., Wang, J., Chi, X., Nie, W., Qi, X., Huang, X., Liu, Q., Zheng, L., Xu, Z., Petaja, T., Aalto, P. P., Fu, C., and Kulmala, M.: Aerosol optical properties at SORPES in Nanjing, east China, Atmospheric Chemistry and Physics , 18, 5265-5292, 10.5194/acp-18-5265-2018, 2018.   

 [57]    Sun, P., Nie, W., Chi, X., Xie, Y., Huang, X., Xu, Z., Qi, X., Xu, Z., Wang, L., Wang, T., Zhang, Q., and Ding, A.: Two years of online measurement of fine particulate nitrate in the western Yangtze River Delta: influences of thermodynamics and N2O5 hydrolysis, Atmospheric Chemistry and Physics , 18, 17177-17190, 10.5194/acp-18-17177-2018, 2018.   

 [58]    Wang, J., Nie, W., Cheng, Y., Shen, Y., Chi, X., Wang, J., Huang, X., Xie, Y., Sun, P., Xu, Z., Qi, X., Su, H., and Ding, A.: Light absorption of brown carbon in eastern China based on 3-year multi-wavelength aerosol optical property observations and an improved absorption Angstrom exponent segregation method, Atmospheric Chemistry and Physics , 18, 9061-9074, 10.5194/acp-18-9061-2018, 2018.   

 [59]    Wang, Z., Huang, X., and Ding, A.: Dome effect of black carbon and its key influencing factors: a one-dimensional modelling study, Atmospheric Chemistry and Physics , 18, 2821-2834, 10.5194/acp-18-2821-2018, 2018.   

 [60]    Xu, Z., Huang, X., Nie, W., Shen, Y., Zheng, L., Xie, Y., Wang, T., Ding, K., Liu, L., Zhou, D., Qi, X., and Ding, A.: Impact of Biomass Burning and Vertical Mixing of Residual-Layer Aged Plumes on Ozone in the Yangtze River Delta, China: A Tethered-Balloon Measurement and Modeling Study of a Multiday Ozone Episode, Journal of Geophysical Research-Atmospheres , 123, 11786-11803, 10.1029/2018jd028994, 2018.   

 [61]    Xu, Z., Nie, W., Chi, X., Huang, X., Zheng, L., Xu, Z., Wang, J., Xie, Y., Qi, X., Wang, X., Xue, L., and Ding, A.: Ozone from fireworks: Chemical processes or measurement interference?, Science of the Total Environment , 633, 1007-1011, 10.1016/j.scitotenv.2018.03.203, 2018.   

 [62]    Li, M., Wang, T., Xie, M., Li, S., Zhuang, B., Chen, P., Huang, X., and Han, Y.: Agricultural Fire Impacts on Ozone Photochemistry Over the Yangtze River Delta Region, East China, Journal of Geophysical Research-Atmospheres , 123, 6605-6623, 10.1029/2018jd028582, 2018.   

 [63]    Zhou, D., Ding, K., Huang, X., Liu, L., Liu, Q., Xu, Z., Jiang, F., Fu, C., and Ding, A.: Transport, mixing and feedback of dust, biomass burning and anthropogenic pollutants in eastern Asia: a case study, Atmospheric Chemistry and Physics , 18, 16345-16361, 10.5194/acp-18-16345-2018, 2018.   

 [64]    Chen, P., Wang, T., Kasoar, M., Xie, M., Li, S., Zhuang, B., and Li, M.: Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China, Atmosphere , 9, 10.3390/atmos9070267, 2018.   

 [65]    Yang, J., Liu, H., and Sun, J.: Evaluation and Application of an Online Coupled Modeling System to Assess the Interaction between Urban Vegetation and Air Quality, Aerosol and Air Quality Research , 18, 693-710, 10.4209/aaqr.2017.06.0199, 2018.   

 [66]    Zou, J., Sun, J., Liu, G., Yuan, R., and Zhang, H.: Vertical Variation of the Effects of Atmospheric Stability on Turbulence Statistics Within the Roughness Sublayer Over Real Urban Canopy, Journal of Geophysical Research-Atmospheres , 123, 2017-2036, 10.1002/2017jd027041, 2018.   

 [67]    陈璞珑, 王体健*, 谢晓栋, 汤莉莉, 徐少才, 王静,2018,基于数值模式的细颗粒物来源解析. 科学通报  ,20186318),1829-1838,Doi10.1360/N972017-01132   

 [68]    符淙斌,Manton Michael. 2018. 季风亚洲区域集成研究国际计划(MAIRS10 年回顾. 大气科学  , 42 (3): 524-532. Fu Congbin, Manton Michael.2018. Review of the Monsoon Asia Integrated Regional Study (MAIRS) program over the past 10 years. Chinese Journal of Atmospheric Sciences (in Chinese) , 42 (3): 524-532 doi:10.3878/j.issn.1006-9895.1711.17240.   

 [69]    顾薇,陈丽娟*20192018年夏季海洋大气特征及对我国气候的影响.气象 451):126-134   

 [70]    顾伟宗,张莉,伯忠凯,陈丽娟,2018.不同时间尺度上黄淮地区夏季降水异常成因及预测研究.大气科学学报 41( 3) :388-394   

 [71]    黄丛吾,陈报章,马超群,王体健*,基于极端随机树方法的WRF-CMAQ-MOS模型研究,气象学报  ,2018,76(5),779-789    

 [72]    李聪元、杨帆、张宁 不同城市冠层模式对城市地表能量平衡模拟能力的检验 南京大学学报(自然科学版)  201854637-654   

 [73]    梁萍,陈丽娟,丁一汇,何金海,周兵.2018,长江梅雨的长期变率与海洋的关系及其可预报性研究.气象学报 763):379-393   

 [74]    吴福浪,汤剑平*,刘建勇.2013年宁波地区一次海风锋对雷暴过程影响分析及数值模拟.气象科学  ,2018,(4):442-452   

 [75]    吴晶璐,朱红芳,宗培书,惠品宏,汤剑平*.30多年江淮流域极端气温指数的时空变化分析:站点观测和再分析的对比.气象科学  ,2018,(4):464-476   

 [76]    杨健博,刘红年,孙鉴泞,城市植被对冬季气象要素影响的数值模拟研究,气象科学 2018,385):575-584   

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